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What and where: A context-based recommendation system for object insertion

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Computational Visual Media 2020年第1期6卷 79-93页

作者： Song-Hai Zhang Zheng-Ping Zhou Bin Liu Xi Dong Peter Hall Tsinghua University Beijing 100084China Beijing National Research Center for Information Science and Technology(BNRist) Tsinghua UniversityBeijing 100084China Department of Computer Science Media Technology Research Center University of BathBath BA27AYUK

We propose a novel problem revolving around two tasks:(i)given a scene,recommend objects to insert,and(ii)given an object category,retrieve suitable background scenes.A bounding box for the inserted object is predicted in both tasks,which helps downstream applications such as semiautomated advertising and video *** major challenge lies in the fact that the target object is neither present nor localized in the input,and furthermore,available datasets only provide scenes with existing *** tackle this problem,we build an unsupervised algorithm based on object-level contexts,which explicitly models the joint probability distribution of object categories and bounding boxes using a Gaussian mixture *** on our own annotated test set demonstrate that our system outperforms existing baselines on all sub-tasks,and does so using a unified *** extensions and applications are suggested.

关键词： object recommendation bounding box prediction image composition object-level context

Generalized Jackiw-Teitelboim gravity in presence of Block brane-like models

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Chinese Physics C 2022年第12期46卷 258-270页

作者： I.Andrade D.bazeia A.S.Lobão Jr. R.Menezes Departamento de Física Universidade Federal da Paraíba58051-970 João PessoaPBBrazil Escola Técnica de Saúde de Cajazeiras Universidade Federal de Campina Grande58900-000 CajazeirasPBBrazil Departamento de Ciências Exatas Universidade Federal da Paraíba58297-000 Rio TintoPBBrazil

We investigate generalized Jackiw-Teitelboim gravity,coupling the dilaton field with two scalar matter *** obtain the equations of motion for the fields and investigate a linear perturbation of the solutions in *** study two specific situations that allow for analytic solutions with topological behavior and check how the dilaton field,the warp factor and the Ricci scalar *** particular,we show how the parameters can be used to modify the structure of the ***,the perturbations are,in general,described by intricate coupled differential equations,but in some specific cases,we can construct the corresponding zero modes analytically.

关键词： Dilaton 2D gravity Multifield

Fractal-based autonomous partial discharge pattern recognition method for MV motors

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High Voltage 2018年第2期3卷 103-114页

作者： Zhuo Ma Yang Yang Martin Kearns Kevin Cowan Huajie Yi Donald M.Hepburn Chengke Zhou School of Engineering and Built Environment Glasgow Caledonian UniversityGlasgowG40BAUK Electrical System Group Engineering DivisionNuclear GenerationEDF EnergyGlasgowG745PGUK

On-line partial discharge(PD)monitoring is being increasingly adopted to improve the asset management and maintenance of medium-voltage(MV)*** study presents a novel method for autonomous analysis and classification of motor PD patterns in situations where a phase-reference voltage waveform is not *** main contributions include a polar PD(PPD)pattern and a fractal theory-based autonomous PD recognition *** pattern that is applied to convert the traditional phase-resolved PD pattern into a circular form addresses the lack of phase information in on-line PD monitoring *** fractal theory is then presented in detail to address the task of discrimination of 6 kinds of single source and 15 kinds of multi-source PD patterns related to motors,as outlined in IEC *** classification of known and unknown defects is calculated by a method known as centre *** of the proposed method is demonstrated using data from laboratory experiments on three typical PD *** study also discusses the application of the proposed techniques with 24 sets of on-site PD measurement data from 4 motors in 2 nuclear power *** results show that the proposed method performs effectively in recognising not only the single-source PD but also multi-source PDs.

关键词： method autonomous fractal

;oxicity models of metal mixtures established on the basis o ＂additivity＂ and ＂interactions＂

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Frontiers of Environmental Science & Engineering 2017年第2期11卷 11-23页

作者： Yang Liu Martina G. Vijver Bo Pan Willie J. G. M. Peijnenburg Faculty of Environmental Science and Engineering Kunming University of Science and Technology Kunming 650500 China Institute of Environmental Sciences (CML) Leiden University Leiden 2300 RA The Netherlands National Institute of Public Health and the Environment (RIVM) Center for Safety of Substances and Products Bilthoven 3720 BA The Netherlands

Observed effects of metal mixtures on animals and plants often differ from the estimates, which are commonly calculated by adding up the biological responses of individual metals. This difference from additivity is commonly referred to as being a consequence of specific interactions between metals. The science of how to quantify metal interactions and whether to include them in risk assessment models is in its infancy. This review summarizes the existing predictive tools for evaluating the combined toxicity of metals present in mixtures and indicates the advantages and disadvantages of each method. We intend to provide eco-toxicologists with background information on how to make good use of the tools and how to advance the methods for assessing toxicity of metal mixtures, It is concluded that statistically significant deviations from additivity are not necessarily biologically relevant. Incorporation of interactions between metals in a model does not on forehand mean that the model is more accurate than a model developed based on additivity only. It is recommended to first use a relatively simple method for effect prediction of uninvestigated metal mixtures. To improve the reliability of toxicity modeling for metal mixtures, further efforts should focus on balancing the relationship between the significance of statistics and the biological meaning, and unraveling the toxicity mechanisms of metals and their mixtures.

关键词： Metal Mixtures Toxicity Additivity Modeling Interactions

Discontinuous Galerkin Methods for a Class of Nonvariational Problems

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Communications on Applied Mathematics and Computation 2022年第2期4卷 634-656页

作者： Andreas Dedner Tristan Pryer Mathematics Institute University of WarwickCoventry CV47ALUK Department of Mathematical Sciences University of BathBath BA27AYUK

We extend the fnite element method introduced by Lakkis and Pryer(SIAM ***.33(2):786–801,2011)to approximate the solution of second-order elliptic problems in nonvariational form to incorporate the discontinuous Galerkin(DG)*** is done by viewing the“fnite element Hessian”as an auxiliary variable in the *** the fnite element Hessian in a discontinuous setting yields a linear system of the same size and having the same sparsity pattern of the compact DG methods for variational elliptic ***,the system matrix is very easy to assemble;thus,this approach greatly reduces the computational complexity of the discretisation compared to the continuous *** conduct a stability and consistency analysis making use of the unifed frameworkset out in Arnold et al.(SIAM ***.39(5):1749–1779,2001/2002).We also give an a posteriori analysis of the method in the case where the problem has a strong *** analysis applies to any consistent representation of the fnite element Hessian,and thus is applicable to the previous works making use of continuous Galerkin *** evidence is presented showing that the method works well also in a more general setting.

关键词： Nonvariational problems Discontinuous Galerkin Error estimates Adaptivity

Strategies to Build Trust and COVID-19 Vaccine Confidence and Engagement among Minority Groups in Scotland

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International Journal of Disaster Risk Science 2022年第6期13卷 890-902页

作者： Josephine Adekola Denis Fischbacher-Smith Thelma Okey-Adibe Jamila Audu Adam Smith Business School University of GlasgowGlasgow G128QQUK Glasgow School of Business and Society Glasgow Caledonian UniversityGlasgow G40BAUK

As countries continue to deal with the global COVID-19 pandemic and its consequences, policymakers recognize that science, technology, and innovation(STI) practices offer a means of addressing many of the health problems that arise from the ongoing pandemic. Such recognition has given rise to many STI policy initiatives across various areas of science and policy, leading to a better understanding of coronavirus and the development of COVID-19 vaccines,treatments, and diagnostics. However, the practical implementation of vaccine and treatment strategies within local communities extends well beyond the laboratory. This study explored how misinformation and trust amplify or attenuate coronavirus and COVID-19 vaccine perceptions of those from ethnic minority groups deemed more susceptible to the impacts of the virus. Primary data in this study were collected in Scotland through semistructured interviews with 26 expert and nonexpert members from Scotland’s minority ethnic communities. The study findings show that risk perception is fluid and dependent on the information and evidential environment in which people find themselves. Misinformation, fake news, conspiracies, and trust or distrust(from prior experiences and historic practices) influence the perception of coronavirus and how risk messages are received, including the acceptance of coronavirus *** article reflects on Scotland’s approach to building trust and COVID-19 vaccine confidence and engagement based on the findings of this study, identifying areas of strength and areas for further improvement or research. The authors believe, as shown by our research, that vaccine engagement will be more impactful if developed by and with the public,and reflects public values, concerns, and priorities.

关键词： COVID-19 Vaccine engagement Trust building Minority group engagement Science innovation Scotland

Local Criteria Used by Farmers to Evaluate the Agronomic Performance and the Fertilizing Capacity of Cowpea Varieties: Diversity, Variability and Proximal Relation with Agronomic Measurements in Contrasted Sahelian Locations

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Agricultural Sciences 2024年第1期15卷 114-131页

作者： Nouhou Salifou Jangorzo Abdoul-Aziz Saïdou Abou-Soufianou Sadda Abdoulaye Moussa Mamoudou Hassane Bil-Assanou Issoufou Département des Sciences du Sol et Télédétection Université Dan Dicko Dankoulodo de Maradi Maradi Niger. Unité Mixte de Recherche “Diversité et Adaptation des Plantes” (UMR DAP) Université Dan Dicko Dankoulodo de Maradi Maradi Niger Centre Imaan de Support en Recherche Transdisciplinaire (Imaan Research) Niamey Niger Institut de Recherche pour le Développement Niamey Niger Université Boubacar ba de Tillabéri Tillabéri Niger Département des Sciences et Techniques de Productions Végétales Université Dan Dicko Dankoulodo de Maradi Maradi Niger

When contributing to participatory research, farmers usually appreciate the performance of cowpea varieties using qualitative scores. The score they attribute to each variety are based on local knowledge. The specific criteria they individually use to attribute a score are not well described. The objectives of this work were to: 1) identify and describe exhaustively the local criteria used by farmers to measure the agronomic performance of cowpea;2) assess the variability and statistical structure of these farmer criteria across local contexts;3) and analyze the association between these farmer criteria and the classical agronomic measurement. To achieve these objectives, an augmented block design was implemented across fifteen locations in the regions of Maradi, Dosso and Tillabéri, representing a diversity of local contexts. From a set of 36 cowpea varieties, fifteen varieties were sown per location, including five varieties (controls) common to all locations. In each location, two replicates were sown in randomized Fisher’s blocks. After agronomic measurement and participatory evaluation (scoring of varieties by farmers), a group survey (focus group) was conducted in each location to identify the criteria considered by farmers to found their discretional scoring of varieties during the participatory evaluation. The analysis of the data identified, across locations, thirteen criteria defined by farmers to characterize the agronomic performance of cowpea. Some of these criteria were different according to location. Farmers ranked the three varieties with the best performance for each agronomical trait (Top 3 varieties). A comparison of the farmer ranking with the ranking based on agronomic measurements revealed similarity and complementary between both methods. This study highlighted the importance of considering both local and scientific knowledge in local varietal evaluations.

关键词： Agronomic Performance Participatory Research Cowpea Farmers’ Criteria

Code Reviewer Intelligent Prediction in Open Source Industrial Software Project

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Computer Modeling in Engineering & Sciences 2023年第10期137卷 687-704页

作者： Zhifang Liao Bolin Zhang Xuechun Huang Song Yu Yan Zhang School of Computer Science and Engineering Central South UniversityChangsha410083China Department of Computing School of ComputingEngineering and Built EnvironmentGlasgow Caledonian UniversityGlasgowG40BAUK

Currently, open-source software is gradually being integrated into industrial software, while industry protocolsin industrial software are also gradually transferred to open-source community development. Industrial protocolstandardization organizations are confronted with fragmented and numerous code PR (Pull Request) and informalproposals, and differentworkflowswill lead to increased operating costs. The open-source community maintenanceteam needs software that is more intelligent to guide the identification and classification of these issues. To solvethe above problems, this paper proposes a PR review prediction model based on multi-dimensional features. Weextract 43 features of PR and divide them into five dimensions: contributor, reviewer, software project, PR, andsocial network of developers. The model integrates the above five-dimensional features, and a prediction model isbuilt based on a Random Forest Classifier to predict the review results of PR. On the other hand, to improve thequality of rejected PRs, we focus on problems raised in the review process and review comments of similar *** a PR revision recommendation model based on the PR review knowledge graph. Entity information andrelationships between entities are extracted from text and code information of PRs, historical review comments,and related issues. PR revisions will be recommended to code contributors by graph-based similarity *** experimental results illustrate that the above twomodels are effective and robust in PR review result predictionand PR revision recommendation.

关键词： Open source software pull request random forest knowledge graph

Food Expenditure of Pantawid Pamilyang Pilipino Program Beneficiary and Non-beneficiary Households in Selected barangays in San Pablo City,Laguna,Philippines

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Food Expenditure of Pantawid Pamilyang Pilipino Program Bene...